Stocklytics Platform
Asset logo for symbol EXC
Exelon
EXC59
$37.92arrow_drop_up1.01%$0.37
S&P500
Asset logo for symbol EXC
EXC59

$37.92

arrow_drop_up1.01%

Analyst Forecast

Period: Next 12 Months

Analyst Ratings

Exelon (EXC) Stocklytics Forecast

Exelon Corp (EXC) is a leading energy provider serving millions of customers across the United States. As a company focused on delivering reliable and sustainable energy solutions, EXC has established itself as a key player in the industry. Investors are constantly looking for insights and forecasts to make informed decisions about their investment choices. In this regard, let's explore the stock price prediction and forecast for EXC.
Looking ahead, analysts have provided various predictions and forecasts for EXC stock. According to AI and machine learning algorithms, the future looks promising for Exelon Corp. The algorithms predict a steady growth trajectory for the company's stock price. Based on these predictions, EXC stock is expected to perform well in the coming years.
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Frequently Asked Questions

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What is the analyst price prediction for Exelon (EXC) stock?

Analysts have set a target price of $39.42 for Exelon (EXC), based on forecasts from 19 analysts. The predicted price range extends from a high of $45 to a low of $36. This represents a potential increase of up to 18.67% and a decrease of -5.06% from the current price of $37.92. These forecasts are as of 2023 Jun 07.
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What are the analyst ratings for Exelon (EXC) stock?

The analyst ratings for Exelon (EXC) are distributed as follows: 6 analysts recommend buying, 13 have a neutral stance, and 1 suggest selling. The prevailing sentiment among the total of 20 analysts leans towards a neutral rating. These ratings indicate the general sentiment among the analysts covering Exelon.
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What is the AI price prediction for Exelon (EXC) stock?

At present, there is no AI or machine-learning-based price prediction available for Exelon (EXC) stock. The lack of a forecast could stem from various factors, such as inadequate data or the necessity for model recalibration.

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